Affiliation:
1. Integral University, India
Abstract
In this chapter, the authors explore the use of machine learning methodology for cyber forensics as machine learning has proven its importance and efficiency. For classification and identification purposes in forensic science, pattern recognition algorithms can be very helpful.
Reference6 articles.
1. Ana Azevedo, M. F. S. (2008). A parallel overview. IADIS European Conference on Data Mining.
2. Chao Zhang, G. Z., & Huang, Y. (2010). Study on the application of knowledge discovery in data bases to the decision making of railway track safety in china. Management and Service Science (MASS)International Conference.
3. Crisp-dm 1.0, (2018). Step-by-step data mining guide. Retrieved from https://www.the-modeling-agency.com/crisp-dm.pdf
4. I. C. e. a. Fidel Reb_on. (2015). An antifraud system for tourism smes in the context of electronic operations with credit cards. American Journal of Intelligent Systems.
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